Skip to main content

Tools to manage Astronomical Cloudy photoionization code

Project description

PyCloudy is a Python library to deal with input and output files of Cloudy (Gary Ferland) photoionization code. Is also allows to generate 3D nebula from various runs of the 1D Cloudy code.


You will need to have installed Cloudy . PyCloudy uses numpy and other standard python libraries.


You may find useful to download, install and upgrade pyCloudy using pip .

For example:

  • pip install pyCloudy

Updates use the same command. You can also use

  • easy_install pyCloudy

To use the devel package (at your own risks!!!):

  • pip install -U git+


PyCloudy is provided as it is. No Warranty at all, you cannot complain if it runs models which are not fitting your data! :-)


  • There is no manual for now… There will soon be a HowTo page.
  • But… there is some examples of use in the pyCloudy home page .
  • And the reference manual is accessible from this site HERE .


This project is partly supported by grants DGAPA/PAPIIT-107215 and CONACyT-CB2015-254132.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for pyCloudy, version 0.9.10
Filename, size File type Python version Upload date Hashes
Filename, size pyCloudy-0.9.10.tar.gz (90.0 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page